Data Engineer_W

Data Engineer_W

3 - 6 Years
Not Specified

Job Description

• Use and improve the client’s automated software frameworks for data acquisition and model configuration
• Design and implement data pipelines for acquiring and transforming raw plant floor data into actionable information.
• Handle installation and deployment of on-premisedata acquisition and edge-computing appliances at factory locations
• Coordinate with client IT and operations teams to ensure the systematic and reliable acquisition of data
• Work closely with the product and sales teams to create data solutions for manufacturers
• Support existing deployments and quickly adapt solutions to changing conditions
Experience: 3-4 years
• BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline
• Minimum 2.5 years of experience in Python and SQL (MANDATORY)
• Minimum 2 years of experience in Machine Learning(MANDATORY)
• Experience with cloud- AWS/ GCP (Good to have)
• Experience with packages such as NumPy, SciPy, pandas
• Experience with Java, along with Spring/Spring Boot or Scala
• Experience working in Linux including using the command line (comfortable with shell access, SSH, etc.)
• Familiarity with ETL
• Good communication skills, both for internal collaboration and working with clients
• You love learning new technologies and like to tinker to understand how things work
• You use a systematic problem-solving approach when facing challenging technical problems


STAR JOBS is a Human Resource Consulting and placement service provider, offering recruitment services, staffing solutions and providing training to rapidly expanding national and transnational companies and also dedicated to provide jobs and instant placements to unemployed and experienced personal. We are Human Resource professionals with extensive global and local experience, industry knowledge and know-how.

We bridges the gap between the job seekers and employees. We are truly dedicated and strongly believes to serve the most appropriate match between Industries,companies and the applicants. People placed by us are working in various companies at various positions and performing truly well in their respective organizations.

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